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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Lau Caspar Thygesen1, Marie Borring Klitgaard1, Anne Sabers2
1National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.
Persons with intellectual disabilities (ID) face significantly higher risks of premature death from preventable, treatable, and unavoidable causes. This highlights an urgent need for improved healthcare and health promotion for this population.
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